Find Academic Supervisors

Bruna PetrecaView profile

Professor

• Circular Economy
• Materials Science
• Human-Centered Design
• +3 more

Dr. Bruna Petreca is a Professor and Reader in Human Experience and Materials at the Royal College of Art's Materials Science Research Centre. She specializes in integrating human experience into materials development, focusing on circular economy, digital environments, and health/wellbeing. Her research leads projects like the UKRI Textiles Circularity Centre and EPSRC Dematerialisation initiatives, emphasizing sustainable fashion, consumer behavior, and digital tools. Educated at the University of São Paulo (BA in Fashion/Textiles) and the RCA (PhD in Design Products), she has a postdoctoral background at TU Delft. Awards include 2013 Human Centred Design prizes and recognition for her work on material experience frameworks. She collaborates internationally, chairs research ethics at RCA, and co-leads projects on AI design tools and circular fashion. Her teaching spans undergraduate/postgraduate levels, emphasizing materials science, human-centered design, and sustainable practices. Education: PhD (RCA), Postdoc (TU Delft), BA (USP) Key Projects: Textiles Circularity Centre (UKRI), Consumer Experience Digital Tools (EPSRC), Brazil-UK Natural Polymers Network Awards: Best Concept/Human Centred Design (2013), Best Poster Presentation (2013) Research Themes: Circular fashion, material experience frameworks, embodied design, AR tools for sustainability

Pierre JourlinView profile

Professor

• Computer Science
• Artificial Intelligence
• Programming Languages
• +3 more

Pierre Jourlin is a Professor at Avignon University, specializing in Computer Science and Artificial Intelligence. He actively contributes to academic events such as workshops on programming education and AI ethics. His research focuses on areas like natural language processing, machine learning, and the societal impact of AI. Jourlin has organized events like a programming workshop for high school students (2022) and authored numerous articles on topics ranging from rule-based event extraction to generative AI in creative writing. His academic contributions include work on semantic disambiguation, medical literature tools (SIMI), and foundational studies in speech recognition and multimedia retrieval. He critiques AI limitations, emphasizing the importance of human oversight in code generation and advocating for accessible education to counteract underfunding in public schools. Jourlin's recent publications (2024–2025) address AI's role in creative fields and the evolution of programming languages. His work often bridges technical innovation with ethical considerations, as seen in his analysis of code-producing AI tools like Copilot. He remains an active member of the academic community, blending research with pedagogical outreach.

• Speech analysis
• Experimental phonetics
• Foreign accent
• +3 more

Lya Meister is a Research Fellow at Tallinn University of Technology's School of Information Technologies, Department of Software Science. She has held this position since 2017, continuing her career from the Institute of Cybernetics at TUT where she served as a Research Fellow (2009–2016) and Extraordinary Research Fellow (2005–2008). Her academic background includes a Doctor's Degree in 2011 (University of Tartu) and a Research Master's Degree in 2005 (Tallinn University). Education: PhD: University of Tartu, 2005–2011 Master's: Tallinn Pedagogical University, Estonian Philology, 2002–2005 Bachelor's: Tallinn Pedagogical University, Russian Philology, 1975–1979 Her research focuses on experimental phonetics, speech corpora analysis, and the acoustic characteristics of speech production. Notable projects include the Improving the intelligibility of sung text (2022–2026) and contributions to the Estonian Elderly Speech Corpus. She has organized major conferences like the Phonetics Symposium 2024 and served on international committees for speech technology initiatives. Her awards include the 2023 School of Information Technologies Paper of the Year and the 2012 Best Paper Award from the Institute of Cybernetics. Her work spans over 68 publications, with recent emphasis on plosive closure duration in singing, vowel-consonant intensity ratios, and developmental phonetic changes in adolescents.

Sylvain SénécalView profile

Professor

• Internet marketing
• Online consumer behavior
• User experience (UX)
• +7 more

Sylvain Sénécal is a Professor at the Department of Marketing, HEC Montréal. He holds the RBC Financial Group Chair of E-commerce and co-directs the Tech3Lab. His expertise focuses on internet marketing and online consumer behavior, with a strong emphasis on user experience (UX) research, neuro-marketing, and digital technology impacts. He earned both his M.Sc. and Ph.D. in Marketing from HEC Montréal. His research explores topics such as cognitive load in online shopping, driver distraction mitigation via technology, and ethical implications of AI in HR management. He has supervised over 60 students, including 7 PhD graduates and numerous master's theses. Key awards include the 2023 Pierre-Laurin Research Prize. His work bridges marketing, information systems, and neuroscience, with notable contributions to UX design, consumer behavior analysis, and the psychological effects of digital tools. The Tech3Lab under his co-direction focuses on technology-driven innovation in business and consumer interactions.

• Electronic Engineering
• Mechatronics and Robotics
• Human-Robot Interaction
• +7 more

Roya Haratian serves as Principal Academic (equivalent to Associate Professor) in Electronic Science and Engineering at Bournemouth University's Department of Design and Engineering within the Faculty of Science and Technology. As Deputy Head of Department and Athena SWAN lead, she spearheaded the department's successful Bronze Award in 2021 for gender equality initiatives. Her leadership extends to curriculum development in Mechatronics and Robotics programs across undergraduate and postgraduate levels. Her academic credentials include a BSc (First Class Honours) and MSc (Distinction) in Electrical and Electronic Engineering, followed by a PhD in Electronic Engineering from Queen Mary University of London (2014). Prior to her current role, she worked as an Associate Lecturer at QMUL and Research Associate at Bristol Robotics Lab, focusing on on-body sensing systems and bio-signal processing for human-machine collaboration. Haratian's research centers on electronic engineering applications in human-robot interaction, with particular emphasis on on-body sensing technologies, signal processing, and machine learning. Her work bridges theoretical innovation with industrial implementation, developing assistive technologies for healthcare and safety-critical systems. Recent projects address diabetic foot ulcer prevention, emotion recognition in VR, and human-machine collaboration safety protocols, demonstrating strong translational impact across medical and industrial domains. Analysis of her 15 most recent publications reveals a strategic progression from foundational signal processing techniques toward integrated human-machine systems. Her work increasingly incorporates game theory for resource allocation, AI-driven predictive modeling, and inclusive design principles, with growing emphasis on real-world implementation challenges and ethical considerations in assistive technologies. Key recognitions include: Athena SWAN Bronze Award (Advance HE, 2021) for departmental gender equality leadership Senior Fellowship of Higher Education Academy (2021) BU Doctoral College Outstanding Contribution Award (2025) Design Review Award from Institute of Mechanical Engineering (2023) Student Experience 'You are Brilliant' Award (2017) As Recognised Research Supervisor (UK Council for Graduate Education), she currently co-supervises five PhD students on topics including AI surveillance, biomechatronics, and digital twin simulation. Her £1.2M+ research portfolio features strategic partnerships with Zimmer-Biomet, Computational Mechanics Wessex Institute, and Daido Industrial Bearing, with recent grants including HEIF-funded AI emotion recognition systems (2025) and QR-funded human-machine safety protocols (2024). She actively mentors through AdvanceHE's Aurora program and leads BU's Inclusivity Curriculum Evaluation project. Haratian directs the department's Athena SWAN initiative and collaborates with the Royal Institute on STEM outreach, designing bioelectronic masterclasses for GCSE students. Her public engagement includes 'Café Scientifique' discussions on machine emotion recognition and keynote addresses at Brockenhurst STEM Awards, focusing on translating on-body sensing research into real-world health applications.

Hwan ChoiView profile

Assistant Professor

• Prosthetic Devices
• Exoskeletal Systems
• Musculoskeletal Analysis
• +3 more

Dr. Hwan Choi is an Assistant Professor at the University of Central Florida (UCF), affiliated with the College of Engineering. He leads the Rehabilitation Engineering and Assistive Device Lab, focusing on advancing prosthetic and exoskeletal technologies to enhance mobility for individuals with disabilities. His work integrates biomechanical analysis, neural control strategies, and assistive device design to address challenges in rehabilitation engineering. Education: Dr. Choi earned his Ph.D. in Engineering from the University of Washington (2016), a Master of Engineering (2006), and a Bachelor of Engineering (2004) from Korea University. He completed a Postdoctoral Research Fellowship at the University of Michigan in 2018. Research Interests: His studies prioritize prosthetic device optimization, exoskeleton system development, musculoskeletal modeling, and neural control mechanisms. He investigates how biomechanical insights can improve device performance and user adaptation, with applications in transtibial amputee mobility, cerebral palsy gait correction, and aging-related mobility issues. Article Trends: Recent work emphasizes multimodal data integration (e.g., IMU sensors, sEMG), adaptive prosthetic systems, and machine learning for gait analysis. Key themes include improving clinical outcomes through smart technologies and addressing unmet needs in orthotic/prosthetic design. Awards: Gatzert Child Welfare Fellowship (2016), Travel Grant from Gait and Clinical Movement Analysis Society (2016), University of Washington Research Assistant Scholarship (2011–2016), Louis and Katherine Marsh Memorial Fellowship (2012). Advising & Grants: While specific advisees are not listed, Dr. Choi’s lab actively engages in collaborative projects, with funding support from scholarships and institutional grants. His research bridges academic and clinical settings, emphasizing translational outcomes. Labs/Teams: The Rehabilitation Engineering and Assistive Device Lab focuses on developing innovative solutions for mobility impairments, including smart adaptive prosthetic sockets and variable-stiffness orthoses. Current projects explore machine learning-driven gait analysis and self-sanitizing medical devices.

Michelle TaubView profile

Associate Professor

• Self-Regulated Learning
• Educational Psychology
• Learning Sciences
• +6 more

Michelle Taub is an Associate Professor in the Department of Learning Sciences and Educational Research at the University of Central Florida's College of Community Innovation and Education. Her research focuses on multimodal data analytics to study emotional and motivational influences on self-regulated learning (SRL) in advanced technologies like game-based environments, intelligent tutoring systems (ITS), and immersive virtual reality. Education: Ph.D. in Psychology (Human Factors and Applied Cognition) from North Carolina State University; M.A. and B.A. in Psychology from McGill University. Her work integrates eye tracking, facial expression analysis, log files, and physiological sensors to model learning processes across diverse populations. Recent projects examine how student agency, prior knowledge, and contextual emotions affect SRL, scientific reasoning, and performance in digital environments. Key trends in her publications include: Development of dashboards for SRL scaffolding (2025) Game-based interventions for fraction learning and STEM engagement (2024) AI-driven personalized learning frameworks (2024) Emotion-cognition interactions in ITS and VR (2023-2024)

• Graphical User Interfaces
• Graphic Design
• Human-computer interaction
• +8 more

Assoc. Prof. David Ahlström is an Associate Professor at the Department of Informatics Systems, Alpen-Adria-Universität Klagenfurt. He also teaches within the Department of Media and Communications, focusing on human-computer interaction and interface design. His research spans multiple areas in human-computer interaction (HCI), including graphical user interfaces, usability engineering, and interactive mobile systems. Department of Informatics Systems (main affiliation) Department of Media and Communications (teaching) David Ahlström's research explores both theoretical and practical aspects of interaction design: Human-computer interaction (HCI) Graphical user interfaces (GUIs) Usability engineering Mobile computing interfaces Information design Interactive systems His publications demonstrate a consistent focus on interface innovation across different device categories. Early work investigated fundamental menu interaction models and mobile screen usability (2002-2007), while recent research (2015-2025) explores advanced spatial interfaces, vibration-based input methods, and multimodal UAV control systems. Common themes include: Evaluating new interaction techniques Optimizing spatial navigation Developing intuitive gesture systems Exploring wearable interface possibilities Advancing smartphone interaction paradigms Improving visual search performance As a member of the Equal Opportunities Working Group, he contributes to institutional initiatives beyond his technical research. His work often addresses practical challenges in mobile device usability across various contexts including education, emergency response, and domestic smart home systems.

• Instructional Technologies
• Artificial Intelligence in Education
• STEM Education
• +3 more

Dr. Serkan Düzgün is an Associate Professor at Gazi University's Faculty of Education, Department of Basic Education, specializing in Classroom Education. He has previously worked as a part-time lecturer at Ankara Hacı Bayram Veli University and Ankara Yıldırım Beyazıt University. PhD, Master's, and Bachelor's degrees from Gazi University Active in instructional technologies, AI in education, STEM, and neuroscience applications Key contributor to Turkey's national education projects and civil society initiatives His research focuses on the integration of artificial intelligence in pedagogical practices, robotic coding platforms for K-12 education, and the cognitive impacts of neuroscience-based teaching methods . Recent work examines distance education challenges during the pandemic, learning style adaptations, and self-regulated learning in virtual environments. Current publications emphasize AI-driven educational tools , technology-enhanced literacy instruction , and virtual classroom dynamics . His 15 most recent articles (2021-2024) span topics like robotic coding in STEM education, emotional intelligence in remote teaching, and AI applications in qualitative research. Dr. Düzgün has conducted 108 projects, advised 3 theses, and actively participates in open-access initiatives and UN Sustainable Development Goals implementation through educational technology. He also played a pivotal role in establishing the "Voice of Turkish" Radio at Yunus Emre Institute.

Ali JannesariView profile

Associate Professor

• High-Performance Computing
• Machine Learning
• Software Analytics
• +5 more

Ali Jannesari is an Associate Professor and Director of the Laboratory for Software Analytics and Pervasive Parallelism (SwAPP Lab) at the Department of Computer Science, Iowa State University. His research focuses on the intersection of High-Performance Computing (HPC) and AI, aiming to advance reliable and efficient software for modern parallel computing platforms. He has held academic and research roles including Senior Research Fellow at UC Berkeley and leadership positions in Germany's Technical University of Darmstadt and RWTH Aachen University. He holds a Habilitation in Computer Science (2016, TU Darmstadt), PhD (2010, KIT), and M.S. (2005, University of Stuttgart). Education: Habilitation in Computer Science, Technical University of Darmstadt, Germany (2016) Ph.D. in Computer Science, Karlsruhe Institute of Technology (2010) M.S. in Computer Science, University of Stuttgart (2005) Research Interests: High-Performance Computing (HPC), Machine Learning, Parallel Computing, Software Analytics, AI-driven compiler optimization, federated learning, and cross-language code analysis. His work bridges HPC and AI to enhance computational efficiency and scalability in data-driven applications. Recent Contributions: Leading research in GNN-based code parallelization (AutoParLLM), federated multimodal learning, and HPC performance optimization via graph-based methods. His lab's work has been published in top venues like NAACL, ICS, and NeurIPS. Lab & Team: The SwAPP Lab develops tools for software analytics and pervasive parallelism, with a focus on HPC-AI integration. Current projects include optimizing distributed training systems and improving code migration with LLMs.

• Human-AI Collaboration
• Deepfake Detection
• Medical Diagnosis
• +4 more

Matt Groh is an Assistant Professor at Northwestern University's Kellogg School of Management, with a courtesy appointment in the McCormick School of Engineering's Computer Science department. He serves as Principal Investigator of the Human-AI Collaboration Lab, focusing on interdisciplinary research bridging social science and machine learning. His work investigates human-AI collaboration dynamics, particularly in domains like deepfake detection, medical diagnosis, and empathic communication. Research Interests: Groh's research integrates computational methods with social science to address challenges in human-AI partnerships. Key areas include: Deepfake detection across modalities (text, audio, video) AI ethics and transparency in healthcare applications Human perception of AI-generated media Computational empathy and emotional AI Lab & Collaborations: The Human-AI Collaboration Lab (HAIC) develops large-scale digital experiments to study hybrid human-machine systems. Recent work includes analyzing photorealism in AI-generated images and evaluating LLM reliability in subjective tasks. Groh collaborates with experts in dermatology, computer vision, and social computing. Teaching & Mentorship: He teaches Human and Machine Intelligence at Kellogg, emphasizing interdisciplinary approaches to AI's societal impact. Current openings include a postdoc fellowship with Dashun Wang exploring Human-AI Collaboration and Science of Science.

Nori JacobyView profile

Assistant Professor

• Cognitive Psychology
• Neuroscience
• Machine Learning
• +3 more

Nori Jacoby is an Assistant Professor in the Department of Psychology at Cornell University and a Research Group Leader at the Max Planck Institute for Empirical Aesthetics in Frankfurt. Her research bridges cognitive science, neuroscience, and machine learning to explore how internal representations shape sensory and cognitive abilities, with a focus on universality/diversity in perception and collective behavior. Education: PhD from Hebrew University of Jerusalem (ELSC), postdocs at MIT, UC Berkeley, and Columbia University Lab: Directs the CoCoCo Lab (Cornell Computational Cognition Lab) Funding: NSF-funded postdoctoral program collaborating with UC Davis, CUNY, and Princeton Research interests include: High-dimensional perceptual spaces using adaptive sampling (e.g., Gibbs sampling with people) Cross-cultural studies of music and perception via global experiments Human-AI hybrid systems for collective creativity and decision-making Recent work explores mechanisms of cultural diversity in urban populations, neural correlates of rhythm in stroke patients, and LLM alignment with human sensory judgments. Current projects include large-scale music evolution experiments and NSF-funded studies on collective intelligence. Recruitment: Actively hiring postdocs and PhD students for interdisciplinary work.

Jessica Sze Yin HoView profile

Associate Professor

• Digital Marketing
• Social Media Marketing
• E-commerce
• +4 more

Jessica Sze Yin Ho is an Associate Professor and Senior Fellow of the Higher Education Academy at Heriot-Watt University , where she serves in the School of Social Sciences as Associate Head and Programme Director of MA (Hons) Marketing in the Department of Marketing and Operations . She is a prolific researcher in digital marketing, social media, and sustainable consumption, with over 20 publications and multiple international awards. PhD in Marketing (Multimedia University, Malaysia) MPhil in Management (Multimedia University, Malaysia) BBA in Marketing (Multimedia University, Malaysia) Research Interests span Digital Marketing , Social Media Strategy , E-commerce , Sustainable Consumer Behavior , and Service Quality , with a focus on technology adoption and higher education quality. Her recent work explores Live Streaming Commerce , TikTok’s role in Cultural Heritage Promotion , and the Dark Side of Celebrity Endorsements . Her 15 most recent publications (2025–2020) analyze audience engagement , privacy dynamics in virtual streaming , sentiment analysis , and augmented reality applications across sectors like museums, tourism, and finance. Awards include multiple Best Paper and Best Reviewer recognitions from global marketing conferences. Collaborations include industry-funded projects on talent management and services marketing . She also mentors colleagues toward Senior Fellow of AdvanceHE status and contributes to UN Sustainable Development Goals through research on sustainable consumption and education.

Eric R. FossumView profile

Professor

• Solid-State Image Sensors
• CMOS Active Pixel Sensors
• Quanta Image Sensors
• +4 more

Eric R. Fossum is the John H. Krehbiel Sr. Professor for Emerging Technologies at the Thayer School of Engineering at Dartmouth College. He serves as Vice Provost for Entrepreneurship and Technology Transfer and Director of Dartmouth's PhD Innovation Program. As one of the world's leading experts in solid-state image sensors, he invented the CMOS active pixel sensor technology that revolutionized digital imaging in smartphones, medical devices, and automotive systems. His work has earned him numerous accolades, including the National Medal of Technology and Innovation (2025) and the Queen Elizabeth Prize (2017). His research interests focus on: Solid-state image sensors (CCDs, CMOS active pixel sensors, Quanta Image Sensors) Advanced imaging systems and on-chip processing New applications for image sensors in medicine, security, and space Dr. Fossum's recent publications demonstrate significant advancements in: Photon-counting sensors for low-light applications High-speed imaging for microscopy and radiography Backside-illuminated and sub-diffraction-limit pixel designs Quantum random number generation using sensor technology Infrared spectral extension of CMOS sensors His scientific awards include: National Medal of Technology and Innovation (2025) Queen Elizabeth Prize for Engineering (2017) IEEE Andrew S. Grove Award (2009) Induction into National Inventors Hall of Fame (2011) Emmy Award for Technology & Engineering (2021) Doctor of Science, Honoris Causa from Trinity College (2014) As an entrepreneurial leader, Dr. Fossum has: Co-founded Gigajot Technology with former PhD students Previously led Photobit and Siimpel Corporations Active participant in technology transfer initiatives at Dartmouth Founder and Past President of the International Image Sensor Society

Winslow BurlesonView profile

Professor

• Human-Computer Interaction (HCI)
• Robotics
• Assistive Technology
• +5 more

Winslow Burleson is a Professor at the University of Arizona's School of Information, specializing in Human-Computer Interaction (HCI), Robotics, and Assistive Technology. His research focuses on developing innovative systems for education, healthcare, and marine engineering. Notable projects include the DRESS system for dementia care, CrowdMuse for collaborative creativity, and underwater robotics interfaces. He has received the James Chen Annual Award for Best Journal Article (2012) and leads interdisciplinary teams in cyberlearning and adaptive tutoring systems. Education background includes advanced studies in computer science and engineering, though specific details are not provided. His work integrates robotics, affective computing, and smart environments to address real-world challenges such as aging, education, and environmental exploration. Research interests span robotics applications in education (e.g., co-robotic learning agents), assistive technologies for independent living, and multimodal learning environments. His contributions include adaptive systems for creative crowdsourcing, emotion-aware tutoring platforms, and underwater human-robot interaction frameworks. Current projects emphasize scalable crowd ideation tools and sensor-driven behavior change interventions. Awards include recognition for impactful journal contributions, while grants fund initiatives like cyberlearning with teachable robots and precision oncology IT tools. Advising and grant activities are central to his academic contributions, though specific student names are not listed. Collaborations involve cross-disciplinary teams in engineering, healthcare, and arts to create impactful technologies. Burleson's lab focuses on developing responsive emotive systems, wearable assistive devices, and immersive multimedia applications. Ongoing work explores scalable solutions for dementia support, marine technology interfaces, and creative human-computer interaction paradigms.